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Statistical
diagrams: frequ./frequency density; frequency polygon, cumulative
frequency;
box & whisker plot; dot plot
Data
measurements: frequency or probability by area (histogram)
x, F, quartiles, median (cum. frequency) all limits moved dynamically
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Sampling
methods: single or multiple samples from a data set dot-plot
of distribution of sample means; central limit theorem demonstrated.
Discrete
probability distributions: rectangular, binomial, Poisson,
geometric, user binomial (n, p) and Poisson. Parameters can be
animated
Continuous
probability distributions: rectangular, normal user-defined:
any f(x) can be entered normal parameters (m, sē) can be animated.
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Probability
measurements:
probability, cumulative probability; inverse calculations (continuous
distributions)
Best
fit binomial/Poisson/normal to data set; Poisson/normal fit
to binomial (animated)
Text
options: table of probabilities; table of statistics; stem
and leaf (in results box: can be copied and pasted out)
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'AUTOGRAPH
EXTRAS'
classroom demonstrations
1. Area of circle demonstration
2. Trigonometry demonstration
3.
Monte-Carlo simulation
4.
Confidence intervals
5. 1, 2, n-dice simulations
6. Poisson grid
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